In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC)
has emerged as a major computing paradigm. Compared to cloud computing, MEC …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …

Integrating user ends (UEs), edge servers (ESs), and the cloud into end-edge-cloud
computing (EECC) can enhance the utilization of resources and improve quality of …

As the computing resources and the battery capacity of mobile devices are usually limited, it
is a feasible solution to offload the computation-intensive tasks generated by mobile devices …

With the rapid development of Internet-of-Things (IoT) and the explosive advance of deep
learning, there is an urgent need to enable deep learning inference on IoT devices in Mobile …

The accelerating convergence of artificial intelligence and edge computing has sparked a
recent wave of interest in edge intelligence. While pilot efforts focused on edge DNN …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …